clear-border

clear_border

skimage.segmentation.clear_border(labels, buffer_size=0, bgval=0, in_place=False) [source]

Clear objects connected to the label image border.

The changes will be applied directly to the input.

Parameters:	labels : (N, M) array of int Label or binary image. buffer_size : int, optional The width of the border examined. By default, only objects that touch the outside of the image are removed. bgval : float or int, optional Cleared objects are set to this value. in_place : bool, optional Whether or not to manipulate the labels array in-place.
Returns:	labels : (N, M) array Cleared binary image.

Examples

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>>> import numpy as np >>> from skimage.segmentation import clear_border >>> labels = np.array([[0, 0, 0, 0, 0, 0, 0, 1, 0], ...                    [0, 0, 0, 0, 1, 0, 0, 0, 0], ...                    [1, 0, 0, 1, 0, 1, 0, 0, 0], ...                    [0, 0, 1, 1, 1, 1, 1, 0, 0], ...                    [0, 1, 1, 1, 1, 1, 1, 1, 0], ...                    [0, 0, 0, 0, 0, 0, 0, 0, 0]]) >>> clear_border(labels) array([[0, 0, 0, 0, 0, 0, 0, 0, 0],        [0, 0, 0, 0, 1, 0, 0, 0, 0],        [0, 0, 0, 1, 0, 1, 0, 0, 0],        [0, 0, 1, 1, 1, 1, 1, 0, 0],        [0, 1, 1, 1, 1, 1, 1, 1, 0],        [0, 0, 0, 0, 0, 0, 0, 0, 0]])